Comparable ecological dynamics underlie early cancer invasion and species dispersal, involving self-organizing processes.
Occupancy of new habitats through dispersion is a central process in nature. In particular, long-distance dispersal is involved in the spread of species and epidemics, although it has not been previously related with cancer invasion, a process that involves cell spreading to tissues far away from the primary tumour. Using simulations and real data we show that the early spread of cancer cells is similar to the species individuals spread and we suggest that both processes are represented by a common spatio-temporal signature of long-distance dispersal and subsequent local proliferation. This signature is characterized by a particular fractal geometry of the boundaries of patches generated, and a power-law scaled, disrupted patch size distribution. In contrast, invasions involving only dispersal but not subsequent proliferation ("physiological invasions") like trophoblast cells invasion during normal human placentation did not show the patch size power-law pattern. Our results are consistent under different temporal and spatial scales, and under different resolution levels of analysis. We conclude that the scaling properties are a hallmark and a direct result of long-distance dispersal and proliferation, and that they could reflect homologous ecological processes of population self-organization during cancer and species spread. Our results are significant for the detection of processes involving long-range dispersal and proliferation like cancer local invasion and metastasis, biological invasions and epidemics, and for the formulation of new cancer therapeutical approaches.
Marco
Diana E
DE
Laboratorio de Ecología Matemática, Area de Producción Orgánica, Facultad de Ciencias Agropecuarias, Universidad Nacional de Córdoba, Ciudad Universitaria, Córdoba, Argentina. dmarco@agro.uncor.edu
Cannas
Sergio A
SA
Montemurro
Marcelo A
MA
Hu
Bo
B
Cheng
Shi-Yuan
SY
D000818:Animals; D049109:Cell Proliferation; D003198:Computer Simulation; D004196:Disease Outbreaks; D004463:Ecology; D017709:Fractals; D006801:Humans; D008954:Models, Biological; D009361:Neoplasm Invasiveness / Q000473:pathology*; D009362:Neoplasm Metastasis / Q000473:pathology*; D011157:Population Dynamics